Senior AI/ML Engineer, Cloud Networking

Google Inc.; New York, Seattle (NY, WA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid Time Off: 20 days/year

Sick Time: 40 hours/year (Seattle 69)

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days

Job summary

Google seeks a Senior Software Engineer specializing in AI/ML for Google Cloud Networking. You will develop and optimize ML-driven networking features, work across teams, and contribute to scalable systems in a fast-paced environment.

Role emphasizes expertise in AI/ML, distributed systems, and large-scale design, with opportunities to switch projects as Google’s needs evolve. In-person collaboration across sites is common.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more ML areas (speech/audio, RL, ML infrastructure, or related field).
• 3 years of experience with ML infrastructure (deployment, evaluation, data processing, debugging).

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design/code reviews.
• Contribute to documentation and update content.
• Triage and debug product/system issues affecting hardware, network, or service quality.
• Design and implement ML solutions and leverage ML infrastructure.

Skills

Python

C++

ML

Data structures/algorithms

Leadership

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Computer Science or related field

Job description

Google seeks a Senior Software Engineer specializing in AI/ML for Google Cloud Networking. You will develop and optimize ML-driven networking features, work across teams, and contribute to scalable systems in a fast-paced environment.

Role emphasizes expertise in AI/ML, distributed systems, and large-scale design, with opportunities to switch projects as Google’s needs evolve. In-person collaboration across sites is common.